Intelligent Control Approaches for Modeling and Control of Complex Systems

[1]  Joshué Pérez,et al.  A Speed Planner Approach Based On Bézier Curves Using Vehicle Dynamic Constrains and Passengers Comfort , 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

[2]  Christian Bockstaller,et al.  A tool to design fuzzy decision trees for sustainability assessment , 2017, Environ. Model. Softw..

[3]  John F. McDonald,et al.  Open source machine-learning algorithms for the prediction of optimal cancer drug therapies , 2017, PloS one.

[4]  Francisco Javier de Cos Juez,et al.  Successful sulfur recovery in low sulfurate compounds obtained from the zinc industry: Evaporation-condensation method. , 2017, Journal of hazardous materials.

[5]  Joshué Pérez,et al.  A complete framework for developing and testing automated driving controllers , 2017 .

[6]  Guodong Yin,et al.  Robust fuzzy control for vehicle lateral dynamic stability via Takagi-Sugeno fuzzy approach , 2017, 2017 American Control Conference (ACC).

[7]  Nidhi Kalra,et al.  Driving to Safety , 2016 .

[8]  Qijun Chen,et al.  Obstacle avoidance of autonomous vehicles with CQP-based model predictive control , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[9]  Qiang Wang,et al.  Benchmarking State-of-the-Art Deep Learning Software Tools , 2016, 2016 7th International Conference on Cloud Computing and Big Data (CCBD).

[10]  Mohak Shah,et al.  Comparative Study of Deep Learning Software Frameworks , 2015, 1511.06435.

[11]  Denis Gingras,et al.  Autonomous Vehicle and Real Time Road Lanes Detection and Tracking , 2015, 2015 IEEE Vehicle Power and Propulsion Conference (VPPC).

[12]  Paul A. Jennings,et al.  Development of a Drive-in Driver-in-the-Loop Fully Immersive Driving Simulator for Virtual Validation of Automotive Systems , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[13]  Dumitru Erhan,et al.  Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Trevor Darrell,et al.  Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.

[15]  Vicente Milanés Montero,et al.  Cooperative Adaptive Cruise Control in Real Traffic Situations , 2014, IEEE Transactions on Intelligent Transportation Systems.

[16]  Nidhi Kalra,et al.  Autonomous Vehicle Technology: A Guide for Policymakers , 2014 .

[17]  Thomas Paine,et al.  GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training , 2013, ICLR.

[18]  Alex Graves.  Generating Sequences With Recurrent Neural Networks , 2013, ArXiv.

[19]  David González,et al.  Control architecture for Cybernetic Transportation Systems in urban environments , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).

[20]  D Sarrut,et al.  Machine learning-based patient specific prompt-gamma dose monitoring in proton therapy , 2013, Physics in medicine and biology.

[21]  Rong Zheng,et al.  Asynchronous stochastic gradient descent for DNN training , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[22]  Yi Yang,et al.  Lateral control of autonomous vehicles based on fuzzy logic , 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

[23]  Joshué Pérez,et al.  Trajectory generator for autonomous vehicles in urban environments , 2013, 2013 IEEE International Conference on Robotics and Automation.

[24]  Geoffrey E. Hinton,et al.  Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[25]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[26]  Yves Rolain,et al.  Mastering System Identification in 100 Exercises , 2012 .

[27]  Rik Pintelon,et al.  System Identification: A Frequency Domain Approach , 2012 .

[28]  Vicente Milanés Montero,et al.  Cascade Architecture for Lateral Control in Autonomous Vehicles , 2011, IEEE Transactions on Intelligent Transportation Systems.

[29]  Gerd Vandersteen,et al.  Robustness Issues of the Best Linear Approximation of a Nonlinear System , 2009, IEEE Transactions on Instrumentation and Measurement.

[30]  H. Kehlet,et al.  Persistent postsurgical pain: risk factors and prevention , 2006, The Lancet.

[31]  Francesco Borrelli,et al.  MPC-Based Approach to Active Steering for Autonomous Vehicle Systems , 2005 .

[32]  D. Dopico,et al.  Penalty, Semi-Recursive and Hybrid Methods for MBS Real-Time Dynamics in the Context of Structural Integrators , 2004 .

[33]  Huiyi Wang,et al.  Fundamental Study of Jerk: Evaluation of Shift Quality and Ride Comfort , 2004 .

[34]  Louis Wehenkel,et al.  A complete fuzzy decision tree technique , 2003, Fuzzy Sets Syst..

[35]  Sukumar Chakraborty,et al.  Fuzzy rule extraction from ID3-type decision trees for real data , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[36]  H. Kehlet,et al.  Effect of postoperative analgesia on surgical outcome. , 2001, British journal of anaesthesia.

[37]  Hisao Ishibuchi,et al.  Adaptive fuzzy rule-based classification systems , 1996, IEEE Trans. Fuzzy Syst..

[38]  Ron Kohavi,et al.  A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.

[39]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[40]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[41]  M. Sugeno,et al.  Derivation of Fuzzy Control Rules from Human Operator's Control Actions , 1983 .

[42]  Cheikh Diop,et al.  Collision Avoidance System for Buses, Managing Pedestrian Detection and Alerts Near Bus Stops , 2017 .

[43]  Aniruddha Parvat,et al.  A survey of deep-learning frameworks , 2017, 2017 International Conference on Inventive Systems and Control (ICISC).

[44]  Ernst Stadlober,et al.  Virtual Stochastic Testing of Advanced Driver Assistance Systems , 2016 .

[45]  J. Erlenwein,et al.  University of Birmingham Prediction of postoperative opioid analgesia using clinical-experimental parameters and electroencephalography , 2016 .

[46]  Witold Pedrycz,et al.  Fuzzy rule based decision trees , 2015, Pattern Recognit..

[47]  Javier Cuadrado,et al.  A Multibody Model to Assess the Effect of Automotive Motor In-wheel Configuration on Vehicle Stability and Comfort , 2013 .

[48]  Vicente Milanés Montero,et al.  Low-Speed Longitudinal Controllers for Mass-Produced Cars: A Comparative Study , 2012, IEEE Transactions on Industrial Electronics.

[49]  Miguel Ángel Sotelo,et al.  Using Fuzzy Logic in Automated Vehicle Control , 2006 .

[50]  Gianni Pasolini,et al.  Simulation platform for , 2006 .

[51]  Lennart Ljung,et al.  System identification toolbox for use with MATLAB , 1988 .

[52]  Julian J. Bussgang,et al.  Crosscorrelation functions of amplitude-distorted gaussian signals , 1952 .

[53]  Petros A. Ioannou,et al.  California Partners for Advanced Transportation Technology Uc Berkeley Title: Throttle and Brake Control Systems for Automatic Vehicle following Throttle and Brake Control Systems for Automatic Vehicle following Throttle and Brake Control Systems for Automatic Vehicle following * , 2022 .